• Last updated: Mon, Feb 5, 2024Status: Ongoing
  • Dominik Dietler, Thomas Eriksson, Jonas Björk, Joacim Rocklöv, and Henrik Sjödin

Utility of real-world mobility data for surveillance of SARS-CoV-2 transmission during the first wave of the pandemic in Sweden

Disease transmission models can provide valuable information for decision makers on the likely future spread of SARS-CoV-2 under different policy scenarios. We aim to integrate real-world mobility data - a key factor affecting social contact patterns – into surveillance models.

The results will provide insights into the strengths and weaknesses of real-world data from mobile phone operators for predicting infectious disease transmission over time and space. Furthermore, they generate valuable experiences for real-time disease modelling using mobility data for managing potential future health crises.

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